Software Engineer, Platform Systems (SDV/FNV)

FordDearborn, MI
$102,190 - $166,200Hybrid

About The Position

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Do you have what it takes to make smart vehicles for a smart world? Join the Ford Product Development team. Utilizing Design Thinking & User Experience methods, you’ll work to deliver breakthrough products and services that delight our customers. We’re seeking forward-thinking, laser-focused professionals with a passion for bringing innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to such advancements as autonomy, electrification, smart mobility technologies, and more!

Requirements

  • Bachelor’s degree or foreign equivalent in Software Engineering, Electric Engineering, Mathematics, Electronics Engineering, Electrical Engineering, Computer Engineering or a related field and 3 years of experience in the job offered or a related occupation.
  • 3 years of experience with GitHub for source code management.
  • 1 year of experience leveraging full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration.
  • 1 year of experience utilizing container technologies to manage and deploy services.
  • 1 year of experience automating processes to enhance reliability, reduce manual intervention, and improve operational efficiency.

Responsibilities

  • Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP.
  • Service-Oriented Architecture (SOA) and Microservices: Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions.
  • Full-Stack Integration: Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration.
  • Data Ingestion and Integration: Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics.
  • GCP Data Solutions: Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs.
  • Data Governance and Security: Implement and manage data governance, access controls, and security best practices while leveraging GCP’s native row- and column-level security features.
  • Performance Optimization: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
  • Collaboration and Best Practices: Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering.
  • Automation and Reliability: Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency.

Benefits

  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Vehicle discount program for employees and family members, and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.
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